Systems Architect Advisor

FedEx

Hybrid

Quick summary

Work type
Hybrid
Location
Memphis, TN
Posted
1 day ago

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Salary context

How this pay compares to similar roles

Similar $192k
$136k most similar roles pay here $241k

This listing doesn't post a salary. Most similar roles pay $159,178–$224,733.

Based on 240 similar postings.

Employer

About FedEx

FedEx is a US-based multinational delivery services company providing express shipping, freight, logistics, and e-commerce solutions worldwide.

FedEx currently has 14 open roles on FindRole.

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At a glance

TL;DR · Systems Architect Advisor

As a Systems Architect Advisor at Federal Express Corporation, you will work under limited supervision to define processes and technical infrastructure for enterprise-level systems. Your role involves evaluating products and projects to align with strategic initiatives and industry trends while coaching less experienced staff. You will be responsible for designing, configuring, and maintaining the enterprise architecture for agentic AI systems, ensuring it supports multi-agent ecosystems and large language model integrations. Key skills include expertise in cloud architecture, technical leadership, and knowledge of current QA standards. Preferred qualifications emphasize experience with AI system design, multi-agent orchestration, and LLM integration to scale AI-driven workflows effectively.

What you'll do

  • Define and implement enterprise-level technical infrastructure and architectural standards.
  • Evaluate products and projects to align with strategic initiatives and industry trends.
  • Design, configure, and maintain the architecture for agentic AI systems.
  • Ensure infrastructure supports multi-agent ecosystems and LLM integrations.
  • Provide technical leadership in scaling AI-driven workflows appropriately.

What we're looking for

  • Bachelor's degree in computer science, engineering, or related field.
  • Five years of experience in IT or business environment.
  • Expertise in designing and maintaining enterprise-level AI systems.
  • Knowledge of multi-agent orchestration and LLM integrations.
  • Experience with cloud architecture and agentic AI frameworks.
  • Ability to keep current on industry QA standards and practices.

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